Pandas Profiling Report

Dataset statistics

Number of variables	13
Number of observations	6000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	19
Duplicate rows (%)	0.3%
Total size in memory	609.5 KiB
Average record size in memory	104.0 B

Variable types

Categorical	1
Numeric	12

Alerts

Dataset has 19 (0.3%) duplicate rows	Duplicates
`B365H` is highly correlated with `B365A` and 6 other fields	High correlation
`B365D` is highly correlated with `IWD` and 2 other fields	High correlation
`B365A` is highly correlated with `B365H` and 6 other fields	High correlation
`IWH` is highly correlated with `B365H` and 6 other fields	High correlation
`IWD` is highly correlated with `B365D` and 2 other fields	High correlation
`IWA` is highly correlated with `B365H` and 6 other fields	High correlation
`LBH` is highly correlated with `B365H` and 6 other fields	High correlation
`LBD` is highly correlated with `B365D` and 2 other fields	High correlation
`LBA` is highly correlated with `B365H` and 6 other fields	High correlation
`WHH` is highly correlated with `B365H` and 6 other fields	High correlation
`WHD` is highly correlated with `B365D` and 2 other fields	High correlation
`WHA` is highly correlated with `B365H` and 6 other fields	High correlation
`B365H` is highly correlated with `B365A` and 6 other fields	High correlation
`B365D` is highly correlated with `B365A` and 6 other fields	High correlation
`B365A` is highly correlated with `B365H` and 10 other fields	High correlation
`IWH` is highly correlated with `B365H` and 6 other fields	High correlation
`IWD` is highly correlated with `B365D` and 6 other fields	High correlation
`IWA` is highly correlated with `B365H` and 10 other fields	High correlation
`LBH` is highly correlated with `B365H` and 6 other fields	High correlation
`LBD` is highly correlated with `B365D` and 6 other fields	High correlation
`LBA` is highly correlated with `B365H` and 10 other fields	High correlation
`WHH` is highly correlated with `B365H` and 6 other fields	High correlation
`WHD` is highly correlated with `B365D` and 6 other fields	High correlation
`WHA` is highly correlated with `B365H` and 10 other fields	High correlation
`B365H` is highly correlated with `B365A` and 6 other fields	High correlation
`B365D` is highly correlated with `IWD` and 2 other fields	High correlation
`B365A` is highly correlated with `B365H` and 6 other fields	High correlation
`IWH` is highly correlated with `B365H` and 6 other fields	High correlation
`IWD` is highly correlated with `B365D` and 2 other fields	High correlation
`IWA` is highly correlated with `B365H` and 6 other fields	High correlation
`LBH` is highly correlated with `B365H` and 6 other fields	High correlation
`LBD` is highly correlated with `B365D` and 2 other fields	High correlation
`LBA` is highly correlated with `B365H` and 6 other fields	High correlation
`WHH` is highly correlated with `B365H` and 6 other fields	High correlation
`WHD` is highly correlated with `B365D` and 2 other fields	High correlation
`WHA` is highly correlated with `B365H` and 6 other fields	High correlation
`B365H` is highly correlated with `IWH` and 2 other fields	High correlation
`B365D` is highly correlated with `B365A` and 7 other fields	High correlation
`B365A` is highly correlated with `B365D` and 6 other fields	High correlation
`IWH` is highly correlated with `B365H` and 3 other fields	High correlation
`IWD` is highly correlated with `B365D` and 7 other fields	High correlation
`IWA` is highly correlated with `B365D` and 6 other fields	High correlation
`LBH` is highly correlated with `B365H` and 2 other fields	High correlation
`LBD` is highly correlated with `B365D` and 6 other fields	High correlation
`LBA` is highly correlated with `B365D` and 6 other fields	High correlation
`WHH` is highly correlated with `B365H` and 3 other fields	High correlation
`WHD` is highly correlated with `B365D` and 6 other fields	High correlation
`WHA` is highly correlated with `B365D` and 6 other fields	High correlation

Reproduction

Analysis started	2021-12-27 01:00:22.703668
Analysis finished	2021-12-27 01:00:45.753665
Duration	23.05 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

FTR
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.0 KiB

NH	3213
H	2787

Length

Max length	2
Median length	2
Mean length	1.5355
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NH
2nd row	NH
3rd row	NH
4th row	H
5th row	H

Common Values

Value	Count	Frequency (%)
NH	3213	53.5%
H	2787	46.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
nh	3213	53.5%
h	2787	46.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

B365H
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	144
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.701662333

Minimum	1.08
Maximum	23
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.0 KiB

Quantile statistics

Minimum	1.08
5-th percentile	1.25
Q1	1.67
median	2.15
Q3	2.87
95-th percentile	6.5
Maximum	23
Range	21.92
Interquartile range (IQR)	1.2

Descriptive statistics

Standard deviation	1.796118455
Coefficient of variation (CV)	0.6648197418
Kurtosis	11.51518168
Mean	2.701662333
Median Absolute Deviation (MAD)	0.54
Skewness	2.794196935
Sum	16209.974
Variance	3.226041504
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.1	280	4.7%
2.5	241	4.0%
2	213	3.5%
2.2	190	3.2%
2.25	167	2.8%
2.3	158	2.6%
1.8	154	2.6%
1.83	149	2.5%
2.4	131	2.2%
1.25	117	1.9%
Other values (134)	4200	70.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.08	3	0.1%
1.09	1	< 0.1%
1.1	6	0.1%
1.11	8	0.1%
1.12	7	0.1%
1.13	8	0.1%
1.14	29	0.5%
1.143	2	< 0.1%
1.16	17	0.3%
1.167	2	< 0.1%

Value	Count	Frequency (%)
23	1	< 0.1%
17	3	0.1%
15	4	0.1%
14	1	< 0.1%
13	8	0.1%
12	11	0.2%
11	15	0.2%
10	19	0.3%
9.5	8	0.1%
9	36	0.6%

B365D
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	50
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.890617

Minimum	2.5
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.0 KiB

Quantile statistics

Minimum	2.5
5-th percentile	3.2
Q1	3.25
median	3.5
Q3	4
95-th percentile	6
Maximum	13
Range	10.5
Interquartile range (IQR)	0.75

Descriptive statistics

Standard deviation	1.067555647
Coefficient of variation (CV)	0.2743923771
Kurtosis	11.74352662
Mean	3.890617
Median Absolute Deviation (MAD)	0.25
Skewness	2.927512835
Sum	23343.702
Variance	1.139675059
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.25	847	14.1%
3.4	717	11.9%
3.3	558	9.3%
3.2	528	8.8%
3.5	496	8.3%
3.6	491	8.2%
4	290	4.8%
3.75	249	4.2%
4.5	177	2.9%
5	167	2.8%
Other values (40)	1480	24.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.5	1	< 0.1%
2.875	1	< 0.1%
3	30	0.5%
3.1	131	2.2%
3.2	528	8.8%
3.25	847	14.1%
3.29	20	0.3%
3.3	558	9.3%
3.39	27	0.4%
3.4	717	11.9%

Value	Count	Frequency (%)
13	4	0.1%
12	2	< 0.1%
11	8	0.1%
10	6	0.1%
9.5	3	0.1%
9	16	0.3%
8.5	15	0.2%
8	31	0.5%
7.5	29	0.5%
7	65	1.1%

B365A
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	133
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.828635333

Minimum	1.16
Maximum	34
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.0 KiB

Quantile statistics

Minimum	1.16
5-th percentile	1.55
Q1	2.5
median	3.5
Q3	5.5
95-th percentile	13
Maximum	34
Range	32.84
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.939662179
Coefficient of variation (CV)	0.8158955703
Kurtosis	6.950641847
Mean	4.828635333
Median Absolute Deviation (MAD)	1.25
Skewness	2.366499065
Sum	28971.812
Variance	15.52093809
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.5	198	3.3%
3	196	3.3%
4	195	3.2%
3.4	177	2.9%
5	165	2.8%
3.75	158	2.6%
3.5	143	2.4%
5.5	142	2.4%
2.5	132	2.2%
6	130	2.2%
Other values (123)	4364	72.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.16	2	< 0.1%
1.18	1	< 0.1%
1.2	1	< 0.1%
1.22	4	0.1%
1.25	6	0.1%
1.28	7	0.1%
1.29	3	0.1%
1.3	15	0.2%
1.33	21	0.4%
1.36	31	0.5%

Value	Count	Frequency (%)
34	3	0.1%
29	3	0.1%
27	1	< 0.1%
26	13	0.2%
23	14	0.2%
21	18	0.3%
19	45	0.8%
18	3	0.1%
17	55	0.9%
16	7	0.1%

IWH
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	122
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.507676667

Minimum	1.05
Maximum	15
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.0 KiB

Quantile statistics

Minimum	1.05
5-th percentile	1.25
Q1	1.65
median	2.1
Q3	2.65
95-th percentile	5.5
Maximum	15
Range	13.95
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.411207563
Coefficient of variation (CV)	0.5627549923
Kurtosis	7.648895308
Mean	2.507676667
Median Absolute Deviation (MAD)	0.5
Skewness	2.377039201
Sum	15046.06
Variance	1.991506787
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.2	348	5.8%
2.1	333	5.5%
2	299	5.0%
2.3	269	4.5%
1.9	267	4.5%
2.4	266	4.4%
1.8	226	3.8%
2.5	199	3.3%
1.75	152	2.5%
1.85	152	2.5%
Other values (112)	3489	58.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.05	1	< 0.1%
1.08	1	< 0.1%
1.1	4	0.1%
1.12	26	0.4%
1.15	40	0.7%
1.17	42	0.7%
1.18	2	< 0.1%
1.2	102	1.7%
1.22	63	1.1%
1.23	2	< 0.1%

Value	Count	Frequency (%)
15	2	< 0.1%
11	8	0.1%
10	4	0.1%
9.6	1	< 0.1%
9.5	10	0.2%
9	6	0.1%
8.7	1	< 0.1%
8.5	11	0.2%
8	13	0.2%
7.8	1	< 0.1%

IWD
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	62
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.6449

Minimum	2.5
Maximum	10.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.0 KiB

Quantile statistics

Minimum	2.5
5-th percentile	3
Q1	3.2
median	3.3
Q3	3.8
95-th percentile	5.5
Maximum	10.5
Range	8
Interquartile range (IQR)	0.6

Descriptive statistics

Standard deviation	0.8145256689
Coefficient of variation (CV)	0.2234699632
Kurtosis	9.546301073
Mean	3.6449
Median Absolute Deviation (MAD)	0.2
Skewness	2.683333596
Sum	21869.4
Variance	0.6634520653
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.2	958	16.0%
3.3	935	15.6%
3.1	656	10.9%
3	447	7.4%
3.5	380	6.3%
3.4	354	5.9%
3.6	242	4.0%
4	227	3.8%
3.7	198	3.3%
3.9	153	2.5%
Other values (52)	1450	24.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.5	1	< 0.1%
2.6	1	< 0.1%
2.7	2	< 0.1%
2.8	2	< 0.1%
2.9	31	0.5%
2.95	1	< 0.1%
3	447	7.4%
3.05	6	0.1%
3.1	656	10.9%
3.15	18	0.3%

Value	Count	Frequency (%)
10.5	1	< 0.1%
10	1	< 0.1%
9.2	1	< 0.1%
9.1	1	< 0.1%
9	12	0.2%
8	6	0.1%
7.9	1	< 0.1%
7.5	17	0.3%
7.3	1	< 0.1%
7	17	0.3%

IWA
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	135
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.185253333

Minimum	1.2
Maximum	29
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.0 KiB

Quantile statistics

Minimum	1.2
5-th percentile	1.55
Q1	2.5
median	3.2
Q3	4.6
95-th percentile	10.31
Maximum	29
Range	27.8
Interquartile range (IQR)	2.1

Descriptive statistics

Standard deviation	2.934304982
Coefficient of variation (CV)	0.7011057033
Kurtosis	6.978977883
Mean	4.185253333
Median Absolute Deviation (MAD)	1
Skewness	2.28384784
Sum	25111.52
Variance	8.610145727
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.8	226	3.8%
3.2	207	3.5%
2.7	202	3.4%
3.3	196	3.3%
2.9	175	2.9%
3.6	174	2.9%
3.1	171	2.9%
2.6	165	2.8%
2.5	151	2.5%
4	147	2.5%
Other values (125)	4186	69.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.2	4	0.1%
1.22	1	< 0.1%
1.25	6	0.1%
1.27	4	0.1%
1.28	1	< 0.1%
1.3	19	0.3%
1.33	6	0.1%
1.35	28	0.5%
1.37	4	0.1%
1.4	50	0.8%

Value	Count	Frequency (%)
29	1	< 0.1%
28	1	< 0.1%
27	1	< 0.1%
25	1	< 0.1%
22	1	< 0.1%
20	12	0.2%
18	10	0.2%
17	1	< 0.1%
16	5	0.1%
15	44	0.7%

LBH
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	226
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.590269167

Minimum	1.08
Maximum	21.06
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.0 KiB

Quantile statistics

Minimum	1.08
5-th percentile	1.22
Q1	1.66
median	2.1
Q3	2.75
95-th percentile	6
Maximum	21.06
Range	19.98
Interquartile range (IQR)	1.09

Descriptive statistics

Standard deviation	1.610506916
Coefficient of variation (CV)	0.6217527261
Kurtosis	10.77229002
Mean	2.590269167
Median Absolute Deviation (MAD)	0.5
Skewness	2.664595455
Sum	15541.615
Variance	2.593732525
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.1	277	4.6%
2.2	272	4.5%
2	214	3.6%
2.25	197	3.3%
1.8	195	3.2%
2.5	184	3.1%
1.73	145	2.4%
2.38	145	2.4%
1.91	144	2.4%
2.4	126	2.1%
Other values (216)	4101	68.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.08	3	0.1%
1.09	2	< 0.1%
1.1	7	0.1%
1.11	10	0.2%
1.12	12	0.2%
1.13	4	0.1%
1.14	21	0.4%
1.15	7	0.1%
1.16	12	0.2%
1.167	3	0.1%

Value	Count	Frequency (%)
21.06	1	< 0.1%
17	1	< 0.1%
15	1	< 0.1%
13	4	0.1%
12.46	1	< 0.1%
12.1	1	< 0.1%
12	7	0.1%
11.49	1	< 0.1%
11.09	1	< 0.1%
11	6	0.1%

LBD
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	162
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.747798833

Minimum	2.75
Maximum	12.59
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.0 KiB

Quantile statistics

Minimum	2.75
5-th percentile	3.2
Q1	3.25
median	3.4
Q3	3.75
95-th percentile	5.75
Maximum	12.59
Range	9.84
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	0.9293678598
Coefficient of variation (CV)	0.2479769863
Kurtosis	14.24326278
Mean	3.747798833
Median Absolute Deviation (MAD)	0.2
Skewness	3.1442089
Sum	22486.793
Variance	0.8637246188
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.2	1191	19.9%
3.4	629	10.5%
3.25	610	10.2%
3.3	597	10.0%
3.5	576	9.6%
3.75	347	5.8%
3.6	269	4.5%
4	245	4.1%
4.5	188	3.1%
5	174	2.9%
Other values (152)	1174	19.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.75	1	< 0.1%
2.8	1	< 0.1%
2.875	1	< 0.1%
2.88	5	0.1%
2.9	10	0.2%
3	100	1.7%
3.04	1	< 0.1%
3.05	1	< 0.1%
3.06	1	< 0.1%
3.08	1	< 0.1%

Value	Count	Frequency (%)
12.59	1	< 0.1%
12.39	1	< 0.1%
12	1	< 0.1%
11.96	1	< 0.1%
11	3	0.1%
10.98	1	< 0.1%
10.9	1	< 0.1%
10.86	1	< 0.1%
10.68	1	< 0.1%
10.57	1	< 0.1%

LBA
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	245
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.498023333

Minimum	1.17
Maximum	32.7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.0 KiB

Quantile statistics

Minimum	1.17
5-th percentile	1.53
Q1	2.45
median	3.3
Q3	5
95-th percentile	12
Maximum	32.7
Range	31.53
Interquartile range (IQR)	2.55

Descriptive statistics

Standard deviation	3.472833699
Coefficient of variation (CV)	0.7720799652
Kurtosis	8.47182719
Mean	4.498023333
Median Absolute Deviation (MAD)	1.2
Skewness	2.462405804
Sum	26988.14
Variance	12.0605739
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	279	4.7%
4.5	239	4.0%
4	209	3.5%
3.75	192	3.2%
2.75	190	3.2%
5	187	3.1%
3.2	178	3.0%
3.5	165	2.8%
2.5	162	2.7%
2.8	159	2.6%
Other values (235)	4040	67.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.17	1	< 0.1%
1.18	2	< 0.1%
1.2	2	< 0.1%
1.22	5	0.1%
1.25	5	0.1%
1.27	1	< 0.1%
1.28	5	0.1%
1.29	10	0.2%
1.3	9	0.1%
1.31	1	< 0.1%

Value	Count	Frequency (%)
32.7	2	< 0.1%
29	3	0.1%
28.68	1	< 0.1%
27.95	1	< 0.1%
27.28	1	< 0.1%
26	6	0.1%
24.79	1	< 0.1%
24.65	1	< 0.1%
23.72	1	< 0.1%
23	5	0.1%

WHH
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	107
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.63024

Minimum	1.06
Maximum	17
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.0 KiB

Quantile statistics

Minimum	1.06
5-th percentile	1.22
Q1	1.66
median	2.15
Q3	2.75
95-th percentile	6
Maximum	17
Range	15.94
Interquartile range (IQR)	1.09

Descriptive statistics

Standard deviation	1.647163127
Coefficient of variation (CV)	0.6262406195
Kurtosis	8.588908896
Mean	2.63024
Median Absolute Deviation (MAD)	0.54
Skewness	2.523792581
Sum	15781.44
Variance	2.713146367
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.5	228	3.8%
2.1	201	3.4%
2.3	195	3.2%
2.25	171	2.9%
2	167	2.8%
2.4	166	2.8%
2.2	163	2.7%
1.8	149	2.5%
2.15	146	2.4%
1.83	140	2.3%
Other values (97)	4274	71.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.06	2	< 0.1%
1.07	2	< 0.1%
1.08	2	< 0.1%
1.1	11	0.2%
1.11	6	0.1%
1.12	13	0.2%
1.14	35	0.6%
1.15	4	0.1%
1.16	18	0.3%
1.17	41	0.7%

Value	Count	Frequency (%)
17	2	< 0.1%
15	2	< 0.1%
13	3	0.1%
12	5	0.1%
11	14	0.2%
10.5	1	< 0.1%
10	14	0.2%
9.5	10	0.2%
9	21	0.4%
8.5	14	0.2%

WHD
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	42
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.649625

Minimum	2.8
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.0 KiB

Quantile statistics

Minimum	2.8
5-th percentile	3
Q1	3.2
median	3.3
Q3	3.75
95-th percentile	5.5
Maximum	13
Range	10.2
Interquartile range (IQR)	0.55

Descriptive statistics

Standard deviation	0.8885036199
Coefficient of variation (CV)	0.2434506613
Kurtosis	14.56153094
Mean	3.649625
Median Absolute Deviation (MAD)	0.2
Skewness	3.133558689
Sum	21897.75
Variance	0.7894386825
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
3.2	990	16.5%
3.1	980	16.3%
3.3	754	12.6%
3.4	438	7.3%
3.5	339	5.7%
3.6	276	4.6%
3.25	275	4.6%
3	271	4.5%
4	223	3.7%
3.75	207	3.5%
Other values (32)	1247	20.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.8	7	0.1%
2.87	15	0.2%
2.88	5	0.1%
2.9	43	0.7%
3	271	4.5%
3.1	980	16.3%
3.2	990	16.5%
3.25	275	4.6%
3.3	754	12.6%
3.4	438	7.3%

Value	Count	Frequency (%)
13	1	< 0.1%
12	2	< 0.1%
11	3	0.1%
10	5	0.1%
9.5	1	< 0.1%
9	9	0.1%
8.5	4	0.1%
8	11	0.2%
7.5	17	0.3%
7	35	0.6%

WHA
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	102
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.548745

Minimum	1.14
Maximum	29
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.0 KiB

Quantile statistics

Minimum	1.14
5-th percentile	1.53
Q1	2.5
median	3.3
Q3	5
95-th percentile	12
Maximum	29
Range	27.86
Interquartile range (IQR)	2.5

Descriptive statistics

Standard deviation	3.556692858
Coefficient of variation (CV)	0.7819064067
Kurtosis	7.004574426
Mean	4.548745
Median Absolute Deviation (MAD)	1.15
Skewness	2.36912121
Sum	27292.47
Variance	12.65006409
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	200	3.3%
4.5	195	3.2%
5	194	3.2%
3	179	3.0%
8	174	2.9%
3.2	169	2.8%
3.5	165	2.8%
6	161	2.7%
3.1	159	2.6%
5.5	159	2.6%
Other values (92)	4245	70.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.14	1	< 0.1%
1.15	1	< 0.1%
1.16	1	< 0.1%
1.2	2	< 0.1%
1.22	2	< 0.1%
1.25	12	0.2%
1.27	1	< 0.1%
1.28	5	0.1%
1.29	4	0.1%
1.3	9	0.1%

Value	Count	Frequency (%)
29	3	0.1%
26	9	0.1%
23	4	0.1%
21	28	0.5%
19	22	0.4%
17	37	0.6%
15	103	1.7%
13	55	0.9%
12	94	1.6%
11	103	1.7%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	FTR	B365H	B365D	B365A	IWH	IWD	IWA	LBH	LBD	LBA	WHH	WHD	WHA
0	NH	1.727	3.25	4.333	1.80	3.1	3.8	1.615	3.25	5.00	1.66	3.3	4.50
1	NH	2.800	3.25	2.200	2.90	3.0	2.2	2.800	3.20	2.20	2.75	3.1	2.30
2	NH	2.250	3.25	2.750	2.30	3.0	2.7	2.250	3.20	2.75	2.30	3.1	2.75
3	H	1.727	3.25	4.333	1.80	3.1	3.8	1.833	3.20	3.75	1.72	3.2	4.33
4	H	1.667	3.40	4.500	1.70	3.2	4.2	1.615	3.50	4.50	1.66	3.3	4.50
5	H	1.200	5.00	12.000	1.20	5.0	10.0	1.200	5.00	11.00	1.20	5.0	11.00
6	H	1.222	5.00	10.000	1.25	4.5	9.0	1.250	4.50	10.00	1.22	5.0	9.50
7	NH	3.000	3.25	2.100	2.90	3.0	2.2	3.000	3.20	2.10	3.20	3.0	2.10
8	H	1.571	3.40	5.500	1.65	3.3	4.4	1.615	3.50	4.50	1.57	3.5	5.00
9	NH	2.750	3.25	2.250	2.50	3.0	2.5	2.750	3.20	2.25	2.70	3.0	2.37

Last rows

	FTR	B365H	B365D	B365A	IWH	IWD	IWA	LBH	LBD	LBA	WHH	WHD	WHA
5990	H	2.62	3.2	3.00	2.60	3.10	2.95	2.72	3.15	2.99	2.62	3.10	2.88
5991	NH	2.90	3.6	2.50	2.85	3.55	2.40	3.03	3.59	2.44	2.90	3.50	2.38
5992	NH	2.60	3.1	3.10	2.50	3.20	2.95	2.73	3.05	3.08	2.62	3.00	3.00
5993	H	1.22	7.5	13.00	1.22	6.50	12.50	1.22	7.01	13.26	1.20	7.00	13.00
5994	H	1.18	8.0	19.00	1.20	7.00	13.00	1.18	7.74	18.36	1.15	8.00	15.00
5995	H	1.64	3.9	6.00	1.70	3.80	5.00	1.63	3.99	6.37	1.60	3.90	6.00
5996	H	1.95	3.6	4.33	2.00	3.40	3.80	2.02	3.48	4.20	1.95	3.50	4.00
5997	NH	7.50	4.5	1.50	7.20	4.40	1.45	7.64	4.37	1.51	7.00	4.33	1.47
5998	H	1.57	4.5	6.00	1.65	4.00	5.10	1.53	4.51	6.76	1.52	4.33	6.00
5999	H	4.10	3.9	1.90	3.75	3.80	1.90	3.87	3.90	1.98	3.90	3.75	1.91

Most frequently occurring

	FTR	B365H	B365D	B365A	IWH	IWD	IWA	LBH	LBD	LBA	WHH	WHD	WHA	# duplicates
0	H	1.20	6.50	15.00	1.20	5.20	11.0	1.20	6.00	15.00	1.20	6.0	15.0	2
1	H	1.20	7.50	17.00	1.22	5.50	12.0	1.22	6.00	13.00	1.22	5.5	15.0	2
2	H	1.29	5.50	11.00	1.30	4.80	8.5	1.29	5.50	10.00	1.29	5.5	10.0	2
3	H	1.40	4.50	8.50	1.35	4.50	7.3	1.40	4.50	8.00	1.44	4.0	8.0	2
4	H	1.85	3.60	4.75	1.90	3.45	3.8	1.90	3.50	4.33	1.91	3.1	4.5	2
5	H	1.90	3.10	4.33	1.90	3.10	3.5	1.83	3.20	3.75	1.90	3.2	3.5	2
6	H	2.40	3.25	3.00	2.50	3.20	2.6	2.38	3.25	3.00	2.40	3.2	3.0	2
7	NH	1.44	4.00	7.50	1.45	3.80	5.4	1.44	3.60	6.50	1.50	3.4	6.0	2
8	NH	1.44	4.20	8.00	1.40	4.30	7.5	1.40	4.50	8.00	1.44	4.0	8.0	2
9	NH	1.83	3.50	4.50	1.85	3.40	3.8	1.80	3.50	4.50	1.83	3.4	4.5	2

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequently occurring